本文的图像灰度化实现主要基于：
- Data-driven Color Manifolds [Nguyen et al. 2015].
- Color-to-gray conversion using ISOMAP [Cui et al. 2010].
- 一种快速映射Isomap算法 [圣少友 et al. 2009].
pip install SOMGraySclae==1.0.1
gray, gray_reverse = som.get_gray_scal(os.path.dirname(__file__) + '/datasets/apple/apple_0.png')
plt.imsave(os.path.dirname(__file__) + '/gray.png', gray, cmap='gray',vmin = 0, vmax = 1)
plt.imsave(os.path.dirname(__file__) + '/gray_reverse.png', gray, cmap='gray', vmin=0, vmax=1)
som = SOMGraySclae()
manifest_1d = som.get_1d_manifold(os.path.dirname(__file__) + '/datasets/apple/apple_0.png')
plt.imsave(os.path.dirname(__file__) + '/manifest_1d.png', manifest_1d, cmap='gray', vmin=0, vmax=1)
som = SOMGraySclae()
manifest_2d = som.get_2d_manifold(os.path.dirname(__file__) + '/datasets/apple/apple_0.png')
plt.imsave(os.path.dirname(__file__) + '/manifest_2d.png', manifest_2d, cmap='gray', vmin=0, vmax=1)
som = SOMGraySclae()
som.color_to_gray_debug(os.path.dirname(__file__) + '/datasets/apple/apple_0.png',
gray_name='gray', gray_reverse_name='gray_reverse', debug=True)
*
项目中采用Nguyen等人的论文实现，基于以下开源项目： https://github.com/tody411/SOM-ColorManifolds
The MIT License 2017 (c) tody